OpenGradient logo

OpenGradient

Visit

Decentralized L1 for verifiable AI: ZKML, TEE, Vanilla, HACA, PIPE, x402, Model Hub. No invented dollar table.

Share:
View alternatives

OpenGradient

OpenGradient is a decentralized Layer 1 for verifiable AI inference. The live homepage now prints 4,500+ models, 2M+ inferences, 500k+ proofs, and 263,500+ wallets. Leftover body still said 2,000+ models. Drop that older hub count.

The same first-party story still names an $8.5 million raise with a16z Crypto, Coinbase Ventures, SV Angel, and Foresight Ventures. Confirm the network pricing page before you quote OPG rates.

Compare OpenRouter if you wanted a simpler multi-model API without onchain proofs, Langfuse if you wanted log-based observability, and ToAPIs if you wanted an OpenAI-compatible gateway.

Key Features

  • Verifiable inference by default: ZKML, TEE, or Vanilla.
  • HACA / PIPE / x402: Execution and verification stay split; inference can sit in an onchain state transition; x402 still gates hosted LLM access.
  • Model Hub: Live count is 4,500+ models, not the leftover 2,000+.
  • Python SDK: First-party still points at pip install opengradient.
  • No invented seat table: Inference is metered in OPG. Exact rates stay on the network pricing page.

Use Cases

  • People with an OpenGradient bookmark who need the hub count corrected.
  • Teams comparing leftover 2,000+ models vs the live 4,500+ homepage.
  • Builders who need cryptographic evidence, not a black-box API log.

Confirm first-party pricing before you quote a rate.

Pricing

First-party pages on 2026-08-18.

Piece Price Notes
OpenGradient inference OPG, metered Confirm the network pricing page. No invented dollar row.
Raise (first-party) $8.5M Still named on the story on the public page, with a16z Crypto and Coinbase Ventures.
Hub scale 4,500+ models Also 2M+ inferences, 500k+ proofs, 263,500+ wallets.

If a leftover blog still says 2,000+ models, treat the 2026 homepage as the correction.

Getting Started

  1. Open opengradient.ai and recheck the live hub counts.
  2. Install the SDK with pip install opengradient.
  3. Choose ZKML, TEE, or Vanilla from the first-party docs, not from older copy.
  4. Confirm OpenRouter if you only needed a hosted model router.

Frequently Asked Questions

Is the hub still 2,000+ models?

No.

Did we invent a dollar table?

No. Confirm the network pricing page for OPG rates.

Is the $8.5M raise still first-party?

Yes, on the story on the public page. Keep it only while first-party still prints it.

Alternatives

  • OpenRouter: Multi-model API without onchain verification.
  • Langfuse: Log-based LLM observability.
  • ToAPIs: OpenAI-compatible gateway with routing.

Tips

  1. Quote 4,500+ models, not leftover 2,000+.
  2. Confirm the homepage before you paste raise or wallet counts into a 2026 deck.

Conclusion

OpenGradient is still a verifiable-AI L1, but leftover hub copy is stale. Start at opengradient.ai, quote the live 4,500+ model count, and decide whether OpenRouter already covers a non-onchain path.

Comments

No comments yet. Be the first to comment!